Abstract
In this paper an Artificial Neural Network (ANN) based dynamic simulator for thermal decomposition of the limestone is presented. The development of the mathematical model is described, which is used to study the influence of coke compozition (humidity, volatility and impurity) and the output temperature of solid and gaseous on the coke consuming. A set of conclusions has been derived concerning better operation regimes.
Original language | Romanian |
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Pages (from-to) | 330-334 |
Number of pages | 5 |
Journal | Revista de Chimie |
Volume | 52 |
Issue number | 6 |
Publication status | Published - Jun 1 2001 |
All Science Journal Classification (ASJC) codes
- Chemistry(all)